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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Systems at the forefront of technological evolution as we pioneer breakthrough AI solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge machine learning systems that will shape the future of human-computer interaction. You'll work in our state-of-the-art R&D lab alongside Nobel laureates and Turing Award winners to develop next-generation neural networks, quantum-enhanced algorithms, and autonomous decision frameworks. This role offers unparalleled opportunity to influence trillions of dollars in emerging markets while solving humanity's most complex challenges through AI innovation.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing at petabyte scale
  • Lead development of autonomous AI systems using reinforcement learning and federated learning
  • Architect hybrid quantum-classical computing solutions for optimization problems
  • Create ethical AI frameworks ensuring bias mitigation and regulatory compliance
  • Mentor cross-functional teams in MLOps best practices and CI/CD automation
  • Develop novel NLP models achieving human-level comprehension across 50+ languages
  • Pioneer neuromorphic computing applications for edge deployment
  • Collaborate with product teams to translate AI capabilities into market-leading solutions

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years industry experience
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in PyTorch/TensorFlow with production deployment of >10M user systems
  • Proficiency in quantum computing frameworks (Qiskit, Cirq) and hybrid algorithms
  • Deep knowledge of transformer architectures and diffusion models
  • Experience with distributed computing (Kubernetes, Spark) and GPU/TPU optimization
  • Strong background in AI ethics, fairness metrics, and regulatory frameworks
  • Track record of leading teams that launched AI products generating $100M+ revenue

Required Skills

Python TensorFlow PyTorch Quantum Computing Reinforcement Learning NLP MLOps Kubernetes Distributed Systems AI Ethics

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